Experiential, Distributional and Dependency-based Word Embeddings have Complementary Roles in Decoding Brain Activity

Our paper “Experiential, Distributional and Dependency-based Word Embeddings have Complementary Roles in Decoding Brain Activity” has been accepted for poster presentation at Cognitive Modeling and Computational Linguistics workshop (2018). We evaluate 8 differentword embedding models on their usefulness for predicting the neural activation patterns associated with concrete nouns. The models we consider include an experiential model, based […]

Deep Q Learning for Language Learning

I have recently started to learn about deep Q-Learning.  If deep reinforcement learning is new for you, I think these blog posts are really useful in giving you an  idea of what it really is with proper amount of details 🙂 Demystifying Deep Reinforcement Learning Deep Reinforcement Learning: Pong from Pixels Deep Q-Learning has been […]